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SureScaleAI/openai-gpt-image-mcp

SureScaleAI/openai-gpt-image-mcp

📇 ☁️ - Image generation and editing with OpenAI's GPT image models
在 GitHub 查看 ↗直链 · 无中转页
官方说明A Model Context Protocol (MCP) tool server for OpenAI's GPT-4o/gpt-image-1 image generation and editing APIs.
配置模板(请按你的客户端调整)
claude mcp add openai-gpt-image-mcp -- npx -y openai-gpt-image-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
115 ★ · SureScaleAI/openai-gpt-image-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 115 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 SureScaleAI/openai-gpt-image-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

openai-gpt-image-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

---
A Model Context Protocol (MCP) tool server for OpenAI's GPT-4o/gpt-image-1 image generation and editing APIs.
- **Generate images** from text prompts using OpenAI's latest models.
- **Edit images** (inpainting, outpainting, compositing) with advanced prompt control.
- **Supports**: Claude Desktop, Cursor, VSCode, Windsurf, and any MCP-compatible client.
---
✨ Features
- **create-image**: Generate images from a prompt, with advanced options (size, quality, background, etc).
- **edit-image**: Edit or extend images using a prompt and optional mask, supporting both file paths and base64 input.
- **File output**: Save generated images directly to disk, or receive as base64.
---
🚀 Installation
---
🔑 Configuration
Add to Claude Desktop or VSCode (including Cursor/Windsurf) config:
Also supports Azure deployments:
Also supports supplying an environment files:
---
⚡ Advanced
- For create-image, set n to generate up to 10 images at once.
- For edit-image, provide a mask image (file path or base64) to control where edits are applied.
- Provide an environment file with --env-file path/to/file/.env
- See src/index.ts for all options.
---
🧑‍💻 Development
- TypeScript source: src/index.ts
- Build: yarn build
- Run: node dist/index.js
---
📝 License
MIT
---
🩺 Troubleshooting
- Make sure your OPENAI_API_KEY is valid and has image API access.
- You must have a verified OpenAI organization. After verifying, it can take 15–20 minutes for image API access to activate.
- File paths must be absolute.
- **Unix/macOS/Linux**: Starting with / (e.g., /path/to/image.png)
- **Windows**: Drive letter followed by : (e.g., C:/path/to/image.png or C:\path\to\image.png)
- For file output, ensure the directory is writable.
- If you see errors about file types, check your image file extensions and formats.
---
⚠️ Limitations & Large File Handling
- **1MB Payload Limit:** MCP clients (including Claude Desktop) have a hard 1MB limit for tool responses. Large images (especially high-res or multiple images) can easily exceed this limit if returned as base64.
- **Auto-Switch to File Output:** If the total image size exceeds 1MB, the tool will automatically save images to disk and return the file path(s) instead of base64. This ensures compatibility and prevents errors like result exceeds maximum length of 1048576.
- **Default File Location:** If you do not specify a file_output path, images will be saved to /tmp (or the directory set by the MCP_HF_WORK_DIR environment variable) with a unique filename.
来源
awesome · https://github.com/SureScaleAI/openai-gpt-image-mcp
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